Deep Learning Techniques for the Classification of Brain Tumor: A Comprehensive Survey
Author:
Affiliation:
1. School of Microelectronics, Tianjin University, Tianjin, China
2. School of Engineering, Chulalongkorn University, Bangkok, Thailand
3. Department of Computer Science, Tianjin University of Technology and Education, Tianjin, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Tianjin, China
Tianjin University Innovation Foundation
Foundation of State Key Laboratory of Ultrasound in Medicine and Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10256178.pdf?arnumber=10256178
Reference102 articles.
1. A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
2. Evaluating the efficiency of different feature sets on brain tumor classification in MR images;engy;Int J Comput Appl,2018
3. Tumor Detection and Classification of MRI Brain Image using Different Wavelet Transforms and Support Vector Machines
4. Brain tumor classification in MRI image using convolutional neural network
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